gpu加速集群上面向硬件的多网格有限元求解器

S. Turek, Dominik Göddeke, S. Buijssen, Hilmar Wobker
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引用次数: 8

摘要

在计算科学中,对现实世界现象的精确模拟通常基于包含偏微分方程系统的底层数学模型。在此背景下,我们追求的重要研究领域是计算固体力学和计算流体动力学(CSM和CFD,参见第3节)。实际应用范围从材料失效测试,例如汽车工业中的碰撞测试,到任何类型的流体和气体流动,例如化学或医学工程(例如,模拟人体血液流动以预测动脉瘤)或汽车和飞机周围的流动,以尽量减少阻力和升力。此外,两种模型的耦合对于流体结构相互作用设置(FSI)是必不可少的,这代表了非常高技术重要性的问题领域。这种结构包括聚合物加工或微流体问题,由于非线性流变或非等温本构律,以及由于流场中结构部分的自激振荡,表现出非常复杂的多尺度行为。在所有这些情况下,流体部分大多是层流的,但具有很高的粘性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters
The accurate simulation of real-world phenomena in computational science is often based on an underlying mathematical model comprising a system of partial differential equations (PDEs). Important research fields that we pursue in this setting are computational solid mechanics and computational fluid dynamics (CSM and CFD, see Section 3). Practical applications range from material failure tests, as for instance crash tests in the automotive industry, to fluid and gas flow of any kind, for instance in chemical or medical engineering (e. g., simulation of blood flow in the human body to predict aneurysms) or flow around cars and aircrafts to minimize drag and lift forces. Moreover, the coupling of both models is essential for fluid structure interaction settings (FSI) which represent problem fields of very high technological importance. Such configurations include polymer processing or microfluidic problems exhibiting very complex multiscale behavior due to nonlinear rheological or non-isothermal constitutive laws, and also due to self-induced oscillations of the structural parts in the flow field. In all these cases, the fluid part is mostly laminar, but highly viscous.
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